Survivable Network, Linear Programming Relaxations and the Parsimonious Property

We consider the survivable network design problem - the problem of designing, at minimum cost, a network with edge-connectivity requirements. As special cases, this problem encompasses the Steiner tree problem, the traveling salesman problem and the k-connected network design problem. We establish a...

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Main Authors: Goemans, Michel X., Bertsimas, Dimitris J.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Online Access:http://hdl.handle.net/1721.1/5175
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author Goemans, Michel X.
Bertsimas, Dimitris J.
author_facet Goemans, Michel X.
Bertsimas, Dimitris J.
author_sort Goemans, Michel X.
collection MIT
description We consider the survivable network design problem - the problem of designing, at minimum cost, a network with edge-connectivity requirements. As special cases, this problem encompasses the Steiner tree problem, the traveling salesman problem and the k-connected network design problem. We establish a property, referred to as the parsimonious property, of the linear programming (LP) relaxation of a classical formulation for the problem. The parsimonious property has numerous consequences. For example, we derive various structural properties of these LP relaxations, we present some algorithmic improvements and we perform tight worstcase analyses of two heuristics for the survivable network design problem.
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spelling mit-1721.1/51752019-04-12T13:40:42Z Survivable Network, Linear Programming Relaxations and the Parsimonious Property Goemans, Michel X. Bertsimas, Dimitris J. We consider the survivable network design problem - the problem of designing, at minimum cost, a network with edge-connectivity requirements. As special cases, this problem encompasses the Steiner tree problem, the traveling salesman problem and the k-connected network design problem. We establish a property, referred to as the parsimonious property, of the linear programming (LP) relaxation of a classical formulation for the problem. The parsimonious property has numerous consequences. For example, we derive various structural properties of these LP relaxations, we present some algorithmic improvements and we perform tight worstcase analyses of two heuristics for the survivable network design problem. 2004-05-28T19:26:31Z 2004-05-28T19:26:31Z 1990-06 Working Paper http://hdl.handle.net/1721.1/5175 en_US Operations Research Center Working Paper;OR 216-90 1824527 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle Goemans, Michel X.
Bertsimas, Dimitris J.
Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title_full Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title_fullStr Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title_full_unstemmed Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title_short Survivable Network, Linear Programming Relaxations and the Parsimonious Property
title_sort survivable network linear programming relaxations and the parsimonious property
url http://hdl.handle.net/1721.1/5175
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